6 AWS Lambda Cost Optimization Strategies that Work

6 AWS Lambda Cost Optimization Strategies that Work

6 AWS Lambda Cost Optimization Strategies that Work. In this article, we will go over six actionable strategies to optimize the cost optimization strategy relating to our AWS Lambda usage. What is AWS Lambda Cost Optimization? Lambda functions, like the ones called from an Amazon API Gateway.

In 2021 it’s common practice for businesses to use a pay-as-you-go/use pricing model. It’s no different with Amazon. It’s also the primary reason why this article is such an important read for all those looking to reduce their AWS Lambda costs.

In this article, we will go over six actionable strategies to optimize the cost relating to our AWS Lambda usage.

What is AWS Lambda Cost Optimization?

One of the main reasons for choosing to move into the cloud is the ability to reduce costs. It’s essential to optimize how much you spend, so you only pay for what you need and only when you need it. Optimizing costs will help your organization get the most out of your investment, helping meet demand and capacity while using the most economically useful options that AWS has to offer.

Cost optimization allows you to decide how much, when, and in which cases you’ll pay for the service provided to you. AWS will allow you to easily pick the right size for your service and leverage memory size based on how much you need.

For a better overview, you can use tools like Dashbird AWS Lambda function cost tracking tool that will allow you to monitor the cost of your Lambdas in real-time with detailed insights. That way, you’ll always be on top of how much you’re spending on this service.

1. Caching Lambda Responses

2. Minimize Lambda Usage

3. Building Small Lambda Functions

4. Never Call Lambda from Lambda

5. Choosing the Ideal Memory Configuration

6. Cost Reduction with Observability

cloud-computing serverless aws-lambda optimization aws

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